Abstract
Abstract—We propose a solution to noisy neural networks employed in future optical communication systems. The proposed approach includes breaking down large networks into smaller ones and forming ”crowds” using these elementary networks.
Original language | English |
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Title of host publication | Proceedings of the 2022 Asia Communications and Photonics Conference (ACP) |
Publisher | IEEE |
Pages | 753-756 |
ISBN (Electronic) | 9781665481557 |
DOIs | |
Publication status | Published - 10 Apr 2023 |
Event | 2022 Asia Communications and Photonics Conference (ACP) and International Conference on Information Photonics and Optical Communications (IPOC) - Shenzen, China Duration: 5 Nov 2022 → 8 Nov 2022 |
Publication series
Name | Asia Communications and Photonics Conference (ACP) Proceedings |
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Publisher | IEEE |
Conference
Conference | 2022 Asia Communications and Photonics Conference (ACP) and International Conference on Information Photonics and Optical Communications (IPOC) |
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Country/Territory | China |
City | Shenzen |
Period | 5/11/22 → 8/11/22 |
Bibliographical note
Funding: This work has received funding from: EU H2020 MSCA project No.860360 and EPSRC project TRANSNET.
Keywords
- Artificial Neural Networks
- Equalisation
- Computational Complexity
- Noise Resilience